|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: "data/train/*.parquet" |
|
- split: validation |
|
path: "data/validation/*parquet" |
|
- split: test |
|
path: "data/test/*.parquet" |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: mask |
|
dtype: image |
|
--- |
|
|
|
# Urban Climate Dataset |
|
|
|
## Dataset Description |
|
|
|
This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks. |
|
|
|
### Files and Structure: |
|
|
|
- **train.parquet**: Contains the training images and masks in a parquet format. |
|
- **validation.parquet**: Contains the validation images and masks in a parquet format for model evaluation. |
|
- **test.parquet**: Contains the test images and masks in a parquet format to evaluate the model. |
|
|
|
Each parquet file includes: |
|
|
|
- **image**: The original satellite image used for the respective split (train, validation, or test). |
|
- **mask**: The binary mask where buildings are labeled, corresponding to the image. |
|
|
|
### Dataset Details: |
|
|
|
- **Images**: High-resolution satellite images of urban environments. |
|
- **Masks**: Binary segmentation masks that indicate building footprints. |
|
|
|
### Usage: |
|
|
|
This dataset is intended for tasks such as building detection and segmentation in urban areas using machine learning and computer vision techniques. |
|
|
